Amazon Science: why machine learning research agents don't overfit—and what compression has to do with it
Aaroth · x · 2026-09-10
- Aaroth shares a new Amazon Science blog post co-written with Steven Wu and Martin Bertran exploring why ML research agents resist overfitting.
- The core question: when agents automate ML research, why do they generalize like human scientists instead of latching onto spurious patterns? The post offers an explanation through the lens of compression.
- The captured link text is mostly Amazon Science site navigation; the full argument lives in the original post.
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